import common_header
import tensorflow as tf

# Fetch
input1 = tf.constant(3.0)
input2 = tf.constant(2.0)
input3 = tf.constant(5.0)

add = tf.add(input2, input3)
mul = tf.multiply(input1, add)

with tf.Session() as sess:
    # 返回的是一个1*2的矩阵
    result = sess.run([mul, add])
    print(result)

# Feed
input1 = tf.placeholder(tf.float32)
input2 = tf.placeholder(tf.float32)

output = tf.multiply(input1, input2)

with tf.Session() as sess:
    # Feed数据以字典的形式传入
    print(sess.run(output, feed_dict={
        input1: [7.0], input2: [2.0]
    }))
